The Deepsqueak analysis system is as accurate, yet more efficient, than the Avisoft system across C57BL/6, FVB.129, and FVB mice

Mouse communicative behaviors are referred to as ultrasonic vocalizations (USVs). USVs are relevant to human health and are commonly recorded with the Avisoft-SASLab Pro recording system and the DeepSqueak system however, no study has compared DeepSqueak's accuracy to Avisoft-SASLab Pro's...

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Main Authors: Matthew S. Binder, Zachary J. Pranske, Joaquin N. Lugo
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Brain Disorders
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666459322000269
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author Matthew S. Binder
Zachary J. Pranske
Joaquin N. Lugo
author_facet Matthew S. Binder
Zachary J. Pranske
Joaquin N. Lugo
author_sort Matthew S. Binder
collection DOAJ
description Mouse communicative behaviors are referred to as ultrasonic vocalizations (USVs). USVs are relevant to human health and are commonly recorded with the Avisoft-SASLab Pro recording system and the DeepSqueak system however, no study has compared DeepSqueak's accuracy to Avisoft-SASLab Pro's so it is unclear which is the optimal program. We used male and female C57BL/6, FVB.129, and FVB mice and assessed the total USVs detected, USV duration, fundamental frequency, and within system consistency for each system. We found that for all strains assessed, there were extremely high correlations for the quantity of vocalizations that were detected between Avisoft-SASLab Pro and DeepSqueak. Furthermore, no significant differences in USV detection between systems were found for any of the strains. A partial correlation was run to control for the strain, sex, and age covariates and found that no covariate substantially influenced the relationship between the USVs detected in Avisoft-SASLab Pro and those detected in DeepSqueak. We also investigated the duration and fundamental frequency of vocalizations between systems and found medium to large correlations across all strains and several significant differences. We next found that DeepSqueak has higher internal consistency than Avisoft-SASLab Pro when assessing USV duration and fundamental frequency. Lastly, we assessed the average time taken to analyze a file and found DeepSqueak to be the faster system. Altogether, these findings demonstrate that while both DeepSqueak and Avisoft-SASLab Pro are accurate and reliable, DeepSqueak is a more efficient USV analysis program.
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spelling doaj.art-58306fe03e4644a5b2b79bc15c4710962022-12-22T03:00:59ZengElsevierBrain Disorders2666-45932022-12-018100055The Deepsqueak analysis system is as accurate, yet more efficient, than the Avisoft system across C57BL/6, FVB.129, and FVB miceMatthew S. Binder0Zachary J. Pranske1Joaquin N. Lugo2Department of Psychology and Neuroscience, Baylor University, Waco, TX 76798, USADepartment of Psychology and Neuroscience, Baylor University, Waco, TX 76798, USADepartment of Psychology and Neuroscience, Baylor University, Waco, TX 76798, USA; Institute of Biomedical Studies, Baylor University, Waco, TX 76798, USA; Corresponding author at: Department of Psychology and Neuroscience, Baylor University, One Bear Place # 97334, Waco, TX 76798, United States.Mouse communicative behaviors are referred to as ultrasonic vocalizations (USVs). USVs are relevant to human health and are commonly recorded with the Avisoft-SASLab Pro recording system and the DeepSqueak system however, no study has compared DeepSqueak's accuracy to Avisoft-SASLab Pro's so it is unclear which is the optimal program. We used male and female C57BL/6, FVB.129, and FVB mice and assessed the total USVs detected, USV duration, fundamental frequency, and within system consistency for each system. We found that for all strains assessed, there were extremely high correlations for the quantity of vocalizations that were detected between Avisoft-SASLab Pro and DeepSqueak. Furthermore, no significant differences in USV detection between systems were found for any of the strains. A partial correlation was run to control for the strain, sex, and age covariates and found that no covariate substantially influenced the relationship between the USVs detected in Avisoft-SASLab Pro and those detected in DeepSqueak. We also investigated the duration and fundamental frequency of vocalizations between systems and found medium to large correlations across all strains and several significant differences. We next found that DeepSqueak has higher internal consistency than Avisoft-SASLab Pro when assessing USV duration and fundamental frequency. Lastly, we assessed the average time taken to analyze a file and found DeepSqueak to be the faster system. Altogether, these findings demonstrate that while both DeepSqueak and Avisoft-SASLab Pro are accurate and reliable, DeepSqueak is a more efficient USV analysis program.http://www.sciencedirect.com/science/article/pii/S2666459322000269Autism spectrum disorderMethodsEpilepsyCommunicationReproducibility
spellingShingle Matthew S. Binder
Zachary J. Pranske
Joaquin N. Lugo
The Deepsqueak analysis system is as accurate, yet more efficient, than the Avisoft system across C57BL/6, FVB.129, and FVB mice
Brain Disorders
Autism spectrum disorder
Methods
Epilepsy
Communication
Reproducibility
title The Deepsqueak analysis system is as accurate, yet more efficient, than the Avisoft system across C57BL/6, FVB.129, and FVB mice
title_full The Deepsqueak analysis system is as accurate, yet more efficient, than the Avisoft system across C57BL/6, FVB.129, and FVB mice
title_fullStr The Deepsqueak analysis system is as accurate, yet more efficient, than the Avisoft system across C57BL/6, FVB.129, and FVB mice
title_full_unstemmed The Deepsqueak analysis system is as accurate, yet more efficient, than the Avisoft system across C57BL/6, FVB.129, and FVB mice
title_short The Deepsqueak analysis system is as accurate, yet more efficient, than the Avisoft system across C57BL/6, FVB.129, and FVB mice
title_sort deepsqueak analysis system is as accurate yet more efficient than the avisoft system across c57bl 6 fvb 129 and fvb mice
topic Autism spectrum disorder
Methods
Epilepsy
Communication
Reproducibility
url http://www.sciencedirect.com/science/article/pii/S2666459322000269
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